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APEC Project TWG 01 2014A – Develop Air Connectivity in the APEC Region 1


APEC Project: TWG 01 2014A

Produced by

International Air Transport Association

www.iata.org/consulting

For Asia-Pacific Economic Cooperation Secretariat 35 Heng Mui Keng Terrace Singapore 119616 Tel: (65) 68919 600 Fax: (65) 68919 690 Email: [email protected] Website: www.apec.org

© 2016 APEC Secretariat

APEC#216-TO-01.10

Head Office Canada: 800 Place Victoria, PO Box 113 Montreal H4Z 1M1, Quebec, Canada

http://www.iata.org/consulting

mailto:[email protected]

http://www.apec.org/


Table of Contents Glossary ......................................................................................................................................................5

List of Abbreviations ..................................................................................................................................... 5

1. Introduction to the project ......................................................................................................... 10

2. Approach followed and data used .............................................................................................. 11

2.1 Data fueling the model ............................................................................................................... 11

2.2 Gap analysis ................................................................................................................................ 12

2.3 Induction ..................................................................................................................................... 14

2.4 Connecting potential .................................................................................................................. 15

2.5 Demand growth .......................................................................................................................... 15

2.6 Other ........................................................................................................................................... 15

2.7 Final route forecast ..................................................................................................................... 16

3. Indonesia .................................................................................................................................... 16

3.1 Economy and demographics ...................................................................................................... 16

3.1.1 Demographics ............................................................................................................................. 16

3.1.2 Economy ..................................................................................................................................... 17

3.1.3 Tourism ....................................................................................................................................... 17

3.2 Aviation demand ........................................................................................................................ 18

3.2.1 Recent demand growth .............................................................................................................. 18

3.2.2 Current air services to Indonesia ................................................................................................ 19

3.2.3 Aviation and the economy .......................................................................................................... 19

3.2.4 Government position on aviation ............................................................................................... 19

3.3 Airport-specific information ....................................................................................................... 20

3.3.1 Busiest airports in Indonesia ...................................................................................................... 20

3.4 Major airlines information .......................................................................................................... 21

4. Medium-term new route opportunities ..................................................................................... 22

4.1 Service gaps ................................................................................................................................ 22

4.1.1 Economy pair analysis ................................................................................................................ 22

4.1.2 City pair analysis by APEC economy ........................................................................................... 24

4.2 High-level feasibility considerations ........................................................................................... 25

4.3 Proposed route analysis ............................................................................................................. 25


4.3.1 Route #1 DPS-PEN....................................................................................................................... 25

4.3.2 Route #2 CGK-HAN ..................................................................................................................... 26

4.3.3 Route #3 CGK-KHH ...................................................................................................................... 27

4.4 Proposed scheduled operations ................................................................................................. 27

4.4.1 Route #1 DPS-PEN....................................................................................................................... 27

4.4.2 Route #2 CGK-HAN ..................................................................................................................... 28

4.4.3 Route #3 CGK-KHH ...................................................................................................................... 28

5. Conclusions and opportunities ................................................................................................... 28

5.1 Connectivity improvement ......................................................................................................... 28

5.2 Route frequency increase ........................................................................................................... 29

5.3 Long-term new route opportunities ........................................................................................... 30

5.4 Development of aircraft technology .......................................................................................... 31

6. Recommendations to improve air connectivity ......................................................................... 32

6.1 Generic recommendations ......................................................................................................... 32

6.2 Specific recommendations ......................................................................................................... 32

6.3 How the APEC economy’s regulator can help ............................................................................ 32

7. Appendix ..................................................................................................................................... 33

7.1 Overview of IATA and IATA Consulting ....................................................................................... 33

7.1.1 IATA ............................................................................................................................................. 33

7.1.2 IATA Consulting ........................................................................................................................... 33

Bibliography ................................................................................................................................................ 36


Glossary The following section presents a list of commonly used expressions and abbreviations found in the report.

Connecting Potential – Common rates of passengers connecting beyond/behind when traveling through a hub to/from a particular region.

Induction/Stimulation – Initial spike in passenger demand when new non-stop service is offered due to better accessibility, shorter travel time, lower cost, etc.

List of Abbreviations

PDEW – Passenger daily each way (passenger demand in each direction between a select origin and destination).

SDEW – Seats daily each way (number of seats offered in each direction on a non-stop or one-stop flight segment).

OD – Origin and destination.

Airport Codes:

AAQ – Anapa, RUS

ACA – Acapulco, MEX

ADL – Adelaide, AUS

AER – Sochi, RUS

AGU – Aguascalientes, MEX

AKJ – Asahikawa, JPN

AKL – Auckland, NZ

ANF – Antofagasta, CHL

AOR – Alor Setar, MAS

AQP – Arequipa, CHL

ARH – Arkhangelsk, RUS

ASF – Astrakhan, RUS

ATL – Atlanta, US

AUS – Austin, US

AYP – Ayacucho, PE

BCD – Negros Occidental,

PH

BDJ – Banjarmasin, INA

BHE – Blenheim, NZ BJX

– Silao, MEX

BKI – Kota Kinabalu, MAS

BKK – Bangkok, THA

BLI – Bellingham, US

BMV – Buon Ma Thuot,

VN

BNA – Nashville, US

BNE – Brisbane, AUS

BOS – Boston, US

BPN – Balikpapan, INA

BUR – Burbank, US

BWN – Bandar Seri Begawan, BD

BXU – Butuan, PH

CAN – Guangzhou, PRC

CBO – Cotabato, PH

CCP – Concepción, CHL

CEB – Cebu, PH

CEI – Chiang Rai, THA

CEK – Chelyabinsk, RUS

CEN – Ciudad Obregón, MEX

CGK – Jakarta, INA

CGO – Zhengzhou, PRC

CGQ – Changchun, PRC

CGY – Cagayan de Oro and Iligan, PH


CHC – Christchurch, NZ

CJA – Cajamarca, PE

CJC – Calama, CHL

CJJ – Cheongwon-gu, ROK

CJU – Jeju, ROK

CKG – Chongqing, PRC

CLT – Charlotte, US

CME – Ciudad del Carmen, MEX

CNS – Cairns, AUS

CNX – Chiang Mai, THA

CSX – Changsha, PRC

CTS – Hokkaido, JPN

CTU – Chengdu, PRC

CUN – Cancun, MEX

CUZ – Cusco, PE

CVG – Cincinnati, US

CXR – Nha Trang, VN

DAD – Da Nang, VN

DAL – Dallas, US

DCA – Washington, US

DEN – Denver, US

DFW – Dallas, US

DGO – Durango, MEX

DGT – Dumaguete, PH

DJB – Jambi City, INA

DLC – Dalian, PRC

DLI – Da Lat, VN

DME – Domodedovo, RUS

DMK – Bangkok, THA

DPS – Bali, INA

DRW – Darwin, AUS

DTW – Detroit, US

DUD – Dunedin, NZ

DVO – Davao City, PH

EAT – Douglas County, US

EWR – Newark, US

EZE – Buenos Aires, ARG

FAT – Fresno, US

FLL – Fort Lauderdale, US

FOC – Fuzhou, PRC

FSZ – Shizuoka, JPN

FUK – Fukuoka, JPN

GDL – Guadalajara, MEX

GEG – Spokane, US

GMP – Seoul, ROK

GUM – Tamuning and Barrigada, GUM

GYS – Guangyuan, PRC

HAK – Haikou, PRC

HAN – Ha Noi, VN

HGH – Hangzhou, PRC

HKG – Hong Kong, China, HKC

HKT – Phuket, THA

HND – Tokyo, JPN

HNL – Honolulu, US

HRB – Harbin, PRC

HUI – Hue, VN

HUZ – Huizhou, PRC

IAD – Washington, US

IAH – Houston, US

ICN – Seoul, ROK

ILO – Ilo, PE

IQQ – Iquique, CHL

IQT – Iquitos, PE

ISG – Ishigaki, JPN

ITM – Osaka, JPN

IWK – Iwakuni, JPN

JFK – New York, US

JHB – Johor, MAS

JJN – Quanzhou, PRC

JNZ – Jinzhou, PRC

JOG – Yogyakarta, INA

JUL – Juliaca, PE

KBR – Kota Bharu, MAS

KBV – Krabi, THA

KCH – Kuching, MAS

KGD – Kaliningrad, RUS

KHH – Kaohsiung, CT

KHN – Nanchang, PRC

KIX – Osaka, JPN

KKE – Kerikeri, NZ

KLO – Kalibo, PH

KMG – Kunming, PRC


KNH – Kinmen, PRC

KNO – Kuala Namu, INA

KOJ – Kirishima, JPN

KRR – Krasnodar, RUS

KUF – Samara, RUS

KUL – Kuala Lumpur, MAS

KWL – Guilin, PRC

KZN – Tatarstan, RUS

LAS – Las Vegas, US

LAX – Los Angeles, US

LED – Saint Petersburg, RUS SVX – Yekaterinburg, RUS

LGA – NY–La Guardia, US

LGK – Padang Matsirat, Langkawi, MAS

LHW – Lanzhou, PRC

LIM – Lima, PE

LOP – Lombok, INA

LPF – Liupanshui, PRC

LPT – Lampang, THA

MBT – Masbate City, PH

MCC – Sacramento, US

MCO – Orlando, US

MDW – Chicago, US

MDZ – Mendoza, ARG

MEL – Melbourne, AUS

MEX – Mexico City, MEX

MFM – Macau, MAC

MIA – Miami, US

MLM – Alvaro Obregon, Michoacan, MEX

MNL – Manilla, PH

MRY – Monterey, US

MSP – Minneapolis–Saint Paul, US

MTT – Cosoleacaque, MEX

MTY – Apodaca, MEX

MZG – Magong City, CT

NBC – Nizhnekamsk, RUS

NGB – Ningbo, PRC

NGO – Nagoya, JPN

NKG – Nanjing, PRC

NKM – Nagoya, JPN

NNG – Nanning, PRC

NPE – Napier, NZ

NPL – New Plymouth, NZ

NRT – Tokyo, JPN

NSN – Nelson, NZ

NTG – Nantong, PRC

OAK – Oakland, US

OAX – Oaxaca, MEX

OKA – Naha, JPN

OOL – Gold Coast, AUS

ORD – Chicago, US

OVB – Novosibirsk, RUS

OZC – Ozamiz, PH

PDG – Sumatra, INA

PEK – Beijing, PRC

PEN – Penang, MAS

PER – Perth, AUS

PHL – Philadelphia, US

PHX – Phoenix, US

PIU – Piura, PE

PLM – Palembang, INA

PLW – Palu, INA

PMC – Puerto Montt, CHL

PMR – Palmerston North City, NZ

PNK – Pontianak, INA

POM – Port Moresby, PNG

PPQ – Paraparaumu, NZ

PQC – Phu Quoc, VN

PSP – Palm Springs, US

PUS – Busan, ROK

PVG – Shanghai, PRC

PVR – Puerto Vallarta, MEX

PXU – Pleiku, VN

PYX – Pattaya, THA

RDU – Raleigh, Durham, US

REP – Siem Reap, KHM

REX – Reynosa, US

RGN – Mingaladon, MMR

RNO – Reno, US

ROC – Rochester, US


ROT – Rotokawa, NZ

ROV – Rostov-on-Don,

RUS

RSU – Yeosu, ROK

RTW – Saratov City, RUS

RXS – Roxas City, PH

SAN – San Diego, US

SCL– Santiago, CHL

SEA – Seattle, US

SFO – San Francisco, US

SGN – Ho Chi Minh, VN

SHA – Shanghai, PRC

SHE – Shenyang, PRC

SIN – Singapore, SGP

SIP – Simferopol, UKR

SJC – San Jose, US

SJD – San Jose del Cabo,

MEX

SLC – Salt Lake City, US

SLP – San Luis Potosi,

MEX

SMF – Sacramento, US

SNA – Santa Ana, US

SOC - Solo/Surakarta,

INA

SPN – Saipan, US

SRG – Semarang, INA

STL – St. Louis, US

STW – Stavropol Krai,

RUS

SUB – Surabaya, INA

SVO – Moscow, RUS

SVX – Koltsovo, RUS

SWA – Jieyang Chaoshan, PRC

SYD – Sydney, AUS

SYO – Sakata, JPN

SYX – Sanya, PRC

SZX – Shenzhen, PRC

TAC – Tacloban, PH

TAM – Tampico, MEX

TAO – Qingdao, PRC

TAV – Tau, ASM

TBP – Tumbes, PE

TDX – Trat, THA

TGG – Kuala Terengganu, MSA

TGZ – Chiapa de Corzo, MEX

TIJ – Tijuana, MEX

TKG – Bandar Lampung, INA

TLC – Toluca, MEX

TNA – Jinan, PRC

TPE – Taipei, CT

TPP – Tarapoto, PE

TRC – Torreon, MEX

TRU – Trujillo, PE

TSA – Songshan, CT

TSN – Tianjin, PRC

TTJ – Tottori, JPN

TXG – Taichung, CT

TYN – Taiyuan, PRC

UFA – Ufa, RUS

UIH – Qui Nhon, VN

UKB – Kobe, JPN

UPG – Makassar, INA

URC – Urumqi, PRC

USM – Koh Samui, THA

VCL – Chu Lai, VN

VDH – Dong Hoi, VN

VER – Veracruz, MEX

VII – Vinh, VN

VKO – Moscow, RUS

VOZ – Voronezh, RUS

VSA – Villahermosa, MEX

VVO – Vladivostok, RUS

WAG – Whanganui, NZ

WEH – Weihai, PRC

WLG – Wellington, NZ

WNZ – Wenzhou, PRC

WRE – Whangarei city, NZ

WUH – Wuhan, PRC

WUX – Wuxi, PRC

XIY – Xi'an, PRC

XMN – Xiamen, PRC

YEG – Edmonton, CDA

YGJ – Yonago, PRC

YHZ – Halifax, CDA


YKA – Kamloops, CDA

YLW – Kelowna, CDA

YNJ – Yanji, PRC

YOW – Ottawa, CDA

YPR – Prince Rupert, CDA

YQM – Moncton, CDA

YQR – Regina, CDA

YSJ – Saint John, CDA

YTS – Timmins, CDA

YUL – Montreal, CDA

YVR – Vancouver, CDA

YWG – Winnipeg, CDA

YXC – Cranbrook, CDA

YXS – Prince George, CDA

YXT – Terrace-Kitimat, CDA

YYB – North Bay, CDA

YYC – Calgary, CDA

YYJ – Victoria, CDA

YYZ – Toronto, CDA

YZP – Sandspit, CDA

YZR - Sarnia, CDA

ZAL – Valdivia, CHL

ZCL – Calera de Victor Rosales, MEX

ZQN – Queenstown, NZ

ZUH – Zhuhai, PRC


1. Introduction to the projectThe APEC Secretariat and Economies have observed that the flow of goods, services, capital and peoplein the APEC Region is constrained by air connectivity limitations and gaps that exist between the APECeconomies, particularly between the Americas and Asia Pacific. Improving connectivity is a long-termtarget of the APEC economies. The APEC Tourism Working Group (TWG) and Transport Working Group(TPTWG) are particularly interested in pursuing this long-term target.

This Project (the “Project”) was proposed in 2014 by Thailand and co-sponsored by Australia; Indonesia;Malaysia; Peru; the Philippines; and Chinese Taipei and aims to develop air connectivity in the APECRegion and in turn stimulate a more efficient flow of goods, services, capital and people. The Projecthas the following objectives:

• To develop market demand-based recommendations for potential new routes, improved flightschedule connection times, and hubs between APEC economies based on analysis of air passengerflow, schedules and new aircraft range capability, including analysis of the number of seats, flightsand air traffic.

• To help airlines and regulators develop more accurate demand predictions so they can in turn helpAPEC economies by providing better air connectivity services, capacity and schedules.

The Project was approved in December 2014, with IATA Consulting selected as the consultant in May 2015. IATA was mandated to complete the following tasks:

1. Develop market demand-based recommendations for potential new routes.

2. Provide recommendations to improve connections between flights at the main hubs linking theAPEC economies.

3. Determine which APEC market-pairs could benefit from the introduction of new aircraft withextended range.


2. Approach followed and data usedThis section explains the methodology applied by IATA and presents the data used to feed the variousunderlying analysis. To conduct the analysis, IATA took systematic steps identified in Figure 1.

Figure 1: Process used to complete analytical work

The first step involved a demand-supply gap analysis aimed at identifying the unserved routes, presenting potential demand for future development. The size that this potential demand could actually represent if turned into direct service in the future was subsequently forecast, using realistic assumptions related to induction, connecting potential and demand growth.

2.1 Data fueling the model Principal data for the model originates from Airport IS. IATA’s Airport IS system uses IATA billing and settlement plan data to provide detailed demand and supply information on total air traffic. This data has been available for over a 10-year historical period (since 2005).

Approximately 18,500 international APEC routes were analyzed in the execution of this study. Airport IS data was particularly relevant in the gap analysis and assumption development.

Academic articles and published ratios were also used to justify some of the assumptions, including induction and origin destination traffic captured through direct service.


For some of the other variables used in the final traffic determination, economic forecasts were extracted from IHS Global Insight, one of the world’s largest commercially available economic databases.

Tourism data was extracted from the World Travel and Tourism Council.

2.2 Gap analysis

IATA applied a funnel approach in conducting the analysis. It first considered the market at the economy pair level, followed by city pairs leading to a market potential assessment (see figure below). Both seat supply and seat demand were considered in the analysis to identify gaps in air service.

Figure 2: Funnel approach used to conduct analysis

The economy-pair analysis allowed IATA to identify unserved markets.

As an example, this analysis showed that there was an average daily demand of 815 Passengers Daily Each Way (PDEW) in 2015 that fly via existing connecting routings between Indonesia and Japan while an average of 1,886 direct (on non-stop service) seats were offered daily each way.

When extending the analysis down to the city pairs it was possible to identify the largest unserved markets between the two economies: 90 Passengers Daily Each Way (PDEW) travelled between CGK and LAX in 2015.

Route selection

Market potential

assessment

Unserved airport pairs identification

Economy pairs gap analysis


The

The

The top 30 underserved routes for Indonesia are presented in the table below.

Table 1: Top 30 unserved routes from Indonesia, 2015 data

Origin Airport

Origin EconomyDestination

AirportDestination

Economy

2015 OD Demand (PDEW)

Non-stop seats in 2015 (SDEW)

1-stop seats in 2015 (SDEW)

CGK Indonesia LAX United States 90 - -

CGK Indonesia NGO Japan 71 - - CGK Indonesia PUS Republic of Korea 70 - -

DPS Indonesia PEN Malaysia 67 - -

CGK Indonesia KHH Chinese Taipei 64 - -

CGK Indonesia JFK United States 63 - -

CGK Indonesia HAN Viet Nam 52 - -

CGK Indonesia SFO United States 51 - -

SUB Indonesia BKK Thailand 41 - -

DPS Indonesia NGO Japan 39 - -

CGK Indonesia BNE Australia 38 - -

DPS Indonesia HKT Thailand 36 - -

DPS Indonesia FUK Japan 36 - -

KNO Indonesia HKG Hong Kong, China 36 - -

DPS Indonesia SGN Viet Nam 35 - -

CGK Indonesia KCH Malaysia 33 - -

BDO Indonesia PEN Malaysia 32 - -

SUB Indonesia ICN Republic of Korea 30 - -

SRG Indonesia HKG Hong Kong, China 30 - -

CGK Indonesia LGK Malaysia 30 - -

CGK Indonesia CNX Thailand 30 - -

CGK Indonesia KBV Thailand 30 - -

CGK Indonesia ITM Japan 29 - -

DPS Indonesia HGH China 29 - -

DPS Indonesia CHC New Zealand 28 - -

JOG Indonesia HKG Hong Kong, China 27 - -

SUB Indonesia PVG China 27 - -

KNO Indonesia BKI Malaysia 27 - -

CGK Indonesia CJU Republic of Korea 26 - -

DPS Indonesia CTU China 26 - -


2.3 Induction

To determine realistic estimates of the success of new air service, various assumptions were considered and applied to current passenger demand.

Induction is a well proven concept that explains how new direct air service has a significant impact on increasing the total number of O&D passengers on a city pair market. This is due to product improvement: shorter travel time, greater convenience and more affordable ticket prices. The extent to which the market will be stimulated varies based on current levels of service (price and flight frequency) offered on a particular route. As stated in the Successful Air Service Development presentation (ICF International, 2014) a market’s first non-stop flight can stimulate demand by 100% to 300%.

IATA quantified this induction value to show a relationship between two primary factors: region pair and the size of the market before a new route is initiated.

The table below shows the stimulation rates considered for this analysis of Indonesia. For some instances where inadequate data (less than 4 routes), to conduct a region pair analysis was available, other variables were considered, including the average of all routes, the average of long-haul routes or the average of short-haul routes, depending on the specific market.

Table 2: Stimulation rates applied to the analysis

Market Base of 10,000

Annual Pax

Base of 25,000

Annual Pax

Base of 50,000

Annual Pax

All APEC Economies 130% 42% 18%

Long Haul 101% 36% 16%Short Haul 150% 50% 21%

Australasia - South East Asia 159% 75% 44%North America-Asia 104% 40%

Asia - South East Asia 162% 53%

Asia - North East Asia 155% 58% 27%

South East Asia - China 203% 78%

South East Asia - North East Asia 125%

Within Asia 160% 55% 24%

Within Southeast Asia 205%


2.4 Connecting potential

Increasing the quality of connections through alliance agreements, codeshares, shorter journey times or fewer stops increases overall travel demand in connecting markets. It is a normal phenomenon for new routes to not only increase demand for the city pairs served but also for beyond and behind destinations that are now more easily accessible (Swan, 2008). On long-haul routes, typically two-thirds of the passengers will make a connection.

IATA’s analysis found that connecting markets would stimulate at various rates depending on the region of origin and the hub airport being flown through. These ratios are applied in determining the impact of a new route on connecting flows.

Connecting rates to be applied in this project for flights connecting at the main Indonesian hub were estimated based on traffic from various regions flying through CGK, as shown in the table below.

CGK

Australia 21.10%

Asia 21.00%

South East Asia 21.70%

China 7.80%

North Asia 13.90%

Table 3: Average rate of connecting passengers at hub airports in Indonesia

2.5 Demand growth

This refers to the consideration of the natural growth observed on a market segment. IATA Economics publishes a detailed inter- and intra-regional global traffic forecast. These demand growth forecasts were used to provide a regionally specific rate of growth to and from Indonesia between 2016 and 2018. Growth was typically seen to be around 5%. Demand growth also refers to the fact that approximately 80% of a market will choose a non-stop flight option if it is available (Belobaba, 2015).

2.6 Other

Other factors, including distance and available traffic rights, were used to refine the assessment of potential new service to be offered. Distance considers the feasibility of offering a non-stop flight with existing technology, using 15,000km as a maximum distance. Available traffic rights consider the bilateral agreements between economies and the current use of those bilateral rights.


2.7 Final route forecast

After conducting the gap analysis and applying the established rates from the various assumptions, the future market potential was estimated, as illustrated in Figure 3 below for the DPS-PEN route.

Figure 3: Example of the various assumptions being applied to determine the potential for new air service.

3. IndonesiaA summary of Indonesia’s economy and demographics, aviation demand, and airport-specific information is presented in this section.

3.1 Economy and demographics

Indonesia is located in South-eastern Asia, between the Indian Ocean and the Pacific Ocean. It has more than 17,000 islands, 922 of which are permanently inhabited.

3.1.1 Demographics

Indonesia’s population is estimated at 249.9 million in May 2016. Indonesia’s capital, Jakarta, lies on the island of Java. Approximately 58% of the total population live on Java Island which is the world’s most populated island (Statistics Indonesia, 2016). The largest cities in Indonesia are Jakarta, Surabaya, Bandung, Bekasi and Medan in respective order. The most populated provinces in Indonesia are depicted in the figure below. West Java is the most populated province in Indonesia with a population of 43 million.

1 2 4

Origin AirportDestination

AirportDestination

Economy2015 OD Non-direct Demand

OD Captured Though Deorect

ServiceOD Stimulation

Behind/Beyond Connecting Potential

Caculations

DPS PEN Malaysia (A) 67 (B) 80% (C) 79% (D) 0%

(1) 54 (1) = AxB

(2) (2) = 1xC

Subtotal (3) 97 (3) = 1+2

(4) 97 (4) = 3/(1-D)

43

DPS - PEN Total Market Potential (2015 Base)


Rank Province Population % of Total Population

1 West Java 43,021,826 18.10 2 East Java 37,476,011 15.77 3 Central Java 3,238,0687 13.63 4 North Sumatra 12,985,075 5.46 5 Banten 10,644,030 4.48 6 Jakarta 9,588,198 4.03 7 South Sulawesi 8,032,551 3.38

Figure 4: Most populated Indonesian provinces (Statistics Indonesia, 2016)

3.1.2 Economy

Indonesia’s GDP growth rate has fallen from 6.2% per annum in 2011 to 4.8% per annum in 2015. GDP is forecasted to reach 5.2% in 2016 through Indonesia’s economic reforms, such as public expenditure on infrastructure investment and policy reforms to stimulate private investments in the economy. It is further expected that lower interest rates will boost the growth of the economy. Compared to other Southeast Asian countries, Viet Nam’s GDP is expected to react 6.7% and the Philippines’ is expected to reach 6.0% in 2016 (ADB, 2016).

Indonesia’s major exports include oil and gas (12.4%), animal and vegetable fats and oils (14%), and electrical equipment and machinery (10.45%) as of 2015. Indonesia’s top trading partners according to percentage share of total exports include Japan (13.14%); China (10.00%); Singapore (9.52%); the United States (9.41%) and India (6.94%) (World Bank, 2014). Indonesia’s economy has faced a decline of commodity prices and global demand since 2012 which have impacted its exports and overall economy (Statistics Indonesia, 2016).

3.1.3 Tourism

Tourism plays an important role in Indonesia’s economy, representing spending of IDR379,452 billion (3% of total GDP) in 2015. Tourism is expected to rise by 5.5% in 2016 and to increase by 5.3% per annum between 2016 and 2026. The total contribution of travel and tourism (indirect and direct) is expected to reach 10.1% of GDP by 2026 (World Travel and Tourism Council).

Leisure travellers (72.8%) make up the majority of direct travel and tourism GDP. Business travel spending made up 27.2% of travel and tourism GDP in 2015. Approximately 79.22% of foreign visitors in 2014 came from the Asia Pacific region, 14.18% from Europe, 3.83 % from the Americas and 2.77% from the Middle East and Africa region (Statistics Indonesia, 2016).


In the past decade, Indonesia’s tourism industry has suffered due to several bombing incidents. However, the government has reacted by increasing security measures and channelling funds to the Department of Culture and Tourism in Jakarta to support recovery efforts quickly and efficiently.

In 2015, the Indonesian government confirmed its decision to grant an additional 45 countries visa-free access to Indonesia for tourism purposes. Infrastructure development and policy changes have been implemented in order to attract greater numbers of tourists to Indonesia.

In 2016, Indonesia expects to welcome 12 million tourists and generate approximately USD12.6 billion in foreign exchange revenue.

It is estimated that nearly 9% of Indonesia’s total workforce are related to the tourism and travel industry.

3.2 Aviation demand

Indonesia spreads across thousands of islands, as such aviation is integral to its society and economy.

3.2.1 Recent demand growth

Total passenger traffic growth between 2008 and 2014 displays an upward trend, with traffic having more than doubled in six years to 162 million passengers in 2014.

Figure 5: Total Air Traffic Indonesia 2005-2015 (Source: ACI, 2016)


3.2.2 Current air services to Indonesia

Figure 6: Non-stop service to and from Indonesia and top international APEC destinations March 2016 (Source: Airport IS)

3.2.3 Aviation and the economy

Economic Footprint

The aviation sector contributes to 4.19% GDP as of the 3rd quarter of 2015. From an employment perspective the sector supports 148,300 people directly and indirectly, and a further 1,412,900 people through the catalytic effects.

3.2.4 Government position on aviation

The Indonesian government is in favor of aviation growth. In 2016, Indonesia has confirmed its support to the ASEAN open sky agreement. There are five Indonesian airports will commit to the open sky policy, namely CGK, KNO, SUB, DPS, and UPG.

Both the national and state-owned government airport operators are keen to establish public-private partnerships to maintain and develop infrastructure.

Indonesia is transparent with its bilateral agreements, making the available capacity and other details publicly available.


3.3 Airport-specific information

3.3.1 Busiest airports in Indonesia

Rank Airport Most Recent Annual Traffic Statistics

(2014 or 2015)

% of Total Indonesian Market

1 CGK 54,053,905 29.13%

2 SUB 17,478,521 9.42%

3 DPS 17402,397 9.38%

4 UPG 8,682,930 4.68%

5 KNO 8,006,757 4.32%

6 BPN 7,700,880 4.15%

7 JOG 6,6361,126 3.43%

Table 4: Top 7 busiest airports in Indonesia (Source: Albatross Airport, 2016).

Figure 7: Map of Indonesia’s busiest airports (Source: Google maps)


Jakarta Soekarno–Hatta International Airport (CGK)

Soekarno–Hatta International Airport is the main airport serving the greater Jakarta area on the Java Island. It is located 20 kilometres west of Jakarta city center. The airport has two operating terminals and a third terminal to start operations in the second quarter of 2016. A fourth terminal has been proposed and due for completion by 2021.

Juanda International Airport (SUB)

Juanda International Airport is one of the major airports in Indonesia. It is located approximately 12 kilometres away from Surabaya. SUB is also one of the busiest airports in Indonesia and will become one of the main airports in Indonesia under the ASEAN Open skies agreement. The airport currently has two terminals, one for international, Garuda Indonesia, and AirAsia flights, and the other allocated to domestic flights of other airlines. A third terminal is under construction and due for completion by the end of 2016.

Denpasar Bali International Airport (DPS)

Denpasar International Airport is located 13 kilometres south of Denpasarin southern Bali. It is located close to tourist attractions in Bali and the resort centre of Kuta. DPS is Indonesia’s third busiest international airport. The airport currently operates two terminals for both domestic and international flights.

Sultan Hasanuddin International Airport (UPG)

Sultan Hasanuddin International Airport is located 20 kilometres northeast of Makassar’s city centre. It is the main gateway for flights to the eastern part of Indonesia. It has the capacity to accommodate 7 million passengers per year.

Kuala Namu Airport (KNO)

Kuala Namu Airport (Medan) officially opened on 27 March 2014. It is located in Deli Serdang, North Sumatera, 39 kilometres from Medan. It is the second largest airport in Indonesia after Soekarno-Hatta International Airport with a capacity of 22,180,000 passengers per year.

3.4 Major airlines information

Lion Air

Lion Airlines is a no-frills airline that services predominately the domestic market. It is the largest privately owned airline in Indonesia and the second largest low-cost airline in Southeast Asia. Lion Air has a fleet of 112 which includes the Boeing 737-900ER, the Boeing 737-800NG, the Boeing 747-400


and the Airbus A330-300 aircrafts. It delivers 183 routes domestically and internationally to nations such as China; Singapore; Malaysia; and Saudi Arabia (Lion air, 2016).

Garuda Indonesia

It is a state-majority owned airline. Garuda is the flag carrier for Indonesia and is focused on serving the international market. It has more than 100 new aircrafts within the age of 0-5 years, including Boeing 777-300 ER, 737-800 NG, Airbus A330-200, Airbus A330-300, 1000 CRJ NextGen and ATR 72-600 (Garuda Indonesia, 2016).

Sriwijaya Air

Sriwijaya Air is the third largest air carrier in Indonesia. It predominately serves the domestic market and offers several international routes to Malaysia, Timor Leste, China and Sri Lanka. Its headquarters are based in Jakarta at CGK. It has a fleet of 35 Boeing 737 series including the Boeing 737-800W NG, Boeing 737-400, and Boeing 737-300. Each month, it carries approximately 800,000 passengers from CGK to its various destinations. It also provides freight transportation services.

Wings Abadi Air

Wings Air provides services only to the domestic market in Indonesia. It operates 49 aircrafts comprised of two types: the ART72-500 and ATR72-600. The company is a wholly owned subsidiary of Lion Air.

4. Medium-term new route opportunitiesThis section of the report is dedicated to explaining the potential future air service developments to andfrom Indonesia within the APEC region over the next three years. Service gaps, route traffic forecasts,and high-level feasibility analysis conducted are hereby presented.

4.1 Service gaps

As part of the process, air services to Indonesia were considered at both economy pair and city pair levels.

4.1.1 Economy pair analysis

The following table outlines the supply and demand for air travel between Indonesia and other APEC economies. The data essentially shows the economy pairs where

• non-stop service is sufficiently supplied (in green),

• air service is adequate but may need to be improved in the long term (in yellow), and


• air service is at a shortfall and should be improved in the medium term (in red).

Origin Economy

Demand (PDEW)

Non-Stop Seat Offer (SDEW)

One-Stop Seat Offer

(SDEW)

Ratio of Demand to Supply

Australia (AUS) 3,820 4,947 2 77% Brunei Darussalam (BD) 184 295 0 62%

Canada (CDA) 89 0 0 ** Chile (CHL) 2 0 0 *

People's Republic of China (PRC) 2,638 1,944 303 117% Hong Kong, China (HKC) 2,041 3,525 0 58%

Indonesia (INA) 212,180 326,095 46,827 57% Japan (JPN) 1,831 1,917 0 96%

Republic of Korea (ROK) 1,019 1,535 0 66% Malaysia (MAS) 8,678 14,637 1 59% Mexico (MEX) 4 0 0 *

New Zealand (NZ) 192 25 0 768% Papua New Guinea (PNG) 16 18 0 88%

Peru (PE) 2 0 0 * The Republic of

the Philippines (PH) 350 367 0 95% Russia (RUS) 16 0 0 *

Singapore (SGP) 8,635 14,456 0 60% Chinese Taipei (CT) 1,077 1,298 527 59%

Thailand (THA) 2,001 2,330 0 86% United States (US) 393 0 0 ***

Viet Nam (VN) 373 178 0 210%

Table 5: Total demand- to-supply ratio PDEW (Source: IATA analysis of Airport IS Data) * Delineates an economy pair with no air services that has inadequate demand to consider air services in the long term

** Delineates an economy pair with no air services that may have adequate demand for service in the long term (next 10

years)

Typical ratios found in highly liberalized international markets with adequate capacity for demand ranges from 60% to 80%.

In some cases, the demand-to-supply ratio is under 60%, however this is still adequate as the low percentage figure may be representative of high rates of connecting passengers flying between economies (not shown in the above table – only OD traffic is displayed).

Where demand-to-supply ratios are higher than 80%, seat offer should be increased between economy pairs (e.g. Indonesia and the Philippines at 95% where the non-stop supply is barely enough to cover the total demand between the economies).


Based on the above analysis at the economy level, Indonesia may have an opportunity to improve service to four economies in the long term (highlighted in yellow in the above table), and could take actions to improve service with eight economies, namely China; Japan; New Zealand; Papua New Guinea; the Philippines; Thailand; the United States and Viet Nam in the medium term (highlighted in red).

The following section will look into greater details at these shortfalls in supply at a city-pair level.

4.1.2 City pair analysis by APEC economy

When considering the shortfall in service on city-pair level, 22 city pairs have a demand of 30 PDEW or greater with no non-stop service. These city pairs listed by economy are seen in the table below. The section following the table provides a narrative description of the phenomenon seen at a combined economy-pair and city-pair level for the economies where air service development is a possibility.

Origin Airport Origin Economy Destination Airport Destination Economy 2015 OD Demand

(PDEW) CGK Indonesia BNE Australia 38

KNO Indonesia HKG Hong Kong, China 36

SRG Indonesia HKG Hong Kong, China 30

CGK Indonesia NGO Japan 71

DPS Indonesia NGO Japan 39

DPS Indonesia FUK Japan 36

DPS Indonesia PEN Malaysia 67

CGK Indonesia KCH Malaysia 33

BDO Indonesia PEN Malaysia 32

CGK Indonesia LGK Malaysia 30

CGK Indonesia PUS Republic of Korea 70

SUB Indonesia ICN Republic of Korea 30

CGK Indonesia KHH Chinese Taipei 64

SUB Indonesia BKK Thailand 41

DPS Indonesia HKT Thailand 36

CGK Indonesia CNX Thailand 30

CGK Indonesia KBV Thailand 30

CGK Indonesia LAX United States 90

CGK Indonesia JFK United States 63

CGK Indonesia SFO United States 51

CGK Indonesia HAN Viet Nam 52

DPS Indonesia SGN Viet Nam 35

Table 6: APEC routes to Indonesia with over 30 PDEW with no non-stop service (Source: IATA analysis of Airport IS data).


4.2 High-level feasibility considerations

City pairs with 30 PDEW (14,235 annual passengers one-way) were considered as the minimum threshold for analysis. There are 22 city pairs to and from Indonesia met this criterion.

As a way to further define a potentially viable route, IATA used two metrics: distance and market size. Due to aircraft range restrictions, city pairs more than 15,000km from each other were eliminated. The second criterion used the application of induction and connection of potential rates (unique to each region and route type) to the existing OD demand in order to determine whether the route would garner demand of a minimum 158 PDEW for ultra-long-haul routes (over 12,000km), 110 PDEW for long-haul routes (between 4,000km and 12,000km), or 75 PDEW for short-haul routes (under 4,000km) in the coming three years with behind and beyond potential and OD stimulation factored in (see section 4.3 below for a detailed breakdown of the factors)

This filtering process led to the selection of three routes that are presented in the table below with more details in the next section.

Table 7: Summary of high-level route feasibility considerations

4.3 Proposed route analysis

Based on the filtering process applied above, IATA identified three routes that could be established through Indonesia in the medium term. This section decomposes the route potential and presents a forecast of the current demand in the medium term.

4.3.1 Route #1 DPS-PEN

DPS - PEN 2015 total route potential definition:

Origin Airport

Origin Economy

Destination Airport

Destination Economy

2015 OD Demand

2015 Estimated Market

Potential

Distance viable for non-stop flight with current technology

Market size adequate for non-stop service in the medium term

Proposed Route

CGK Indonesia HAN Viet Nam 52 106 Yes

DPS Indonesia PEN Malaysia 67 97 Yes

CGK Indonesia LAX United States 90 136 No

CGK Indonesia NGO Japan 71 88 No

CGK Indonesia PUS Republic of Korea 70 87 No

CGK Indonesia PUS Republic of Korea 70 87 No

CGK Indonesia KHH Chinese Taipei 64 83 Yes

SUB Indonesia BKK Thailand 41 82 No

CGK Indonesia SFO United States 51 78 No

CGK Indonesia BNE Australia 38 78 No

KNO Indonesia HKG Hong Kong, China 36 76 No


Based on 2015 demand figures, IATA estimates that the DPS-PEN route presents a potential of 97 PDEW for a direct service between the two cities.

This potential would grow to 113 by 2018 as displayed in the short term forecast in the following table. This forecast uses the 2015 estimated demand and applies to it the IATA inter- and intra-regional global traffic forecast published by our Economics Division.

4.3.2 Route #2 CGK-HAN

CGK - HAN 2015 total route potential definition:

Based on 2015 demand figures, IATA estimates that the CGK-HAN route presents a potential of 106 PDEW for a direct service between the two cities.


1 2 4


AirportDestination





Caculations

DPS PEN Malaysia (A) 67 (B) 80% (C) 79% (D) 0%

(1) 54 (1) = AxB

(2) (2) = 1xC

Subtotal (3) 97 (3) = 1+2

(4) 97 (4) = 3/(1-D)

43

DPS - PEN Total Market Potential (2015 Base)

Economy Pair City Pair 2015 Base 2016 2017 2018Indonesia-Malaysia DPS-PEN 97 102 107 113

1 2 4


AirportDestination





Caculations

CGK HAN Viet Nam (A) 52 (B) 80% (C) 100% (D) 22%

(1) 42 (1) = AxB

(2) (2) = 1xC

Subtotal (3) 83 (3) = 1+2

(4) 106 (4) = 3/(1-D)

42

CGK - HAN Total Market Potential (2015 Base)

Economy Pair City Pair 2015 Base 2016 2017 2018Indonesia-Viet Nam CGK-HAN 106 112 118 124


4.3.3 Route #3 CGK-KHH

KHH-CGK 2015 total route potential definition:

Based on 2015 demand figures, IATA estimates that the CGK-KHH route presents a market potential of 83 PDEW for a direct service between the two cities.


4.4 Proposed scheduled operations

This section considers the above route through three main operational/feasibility criteria:

• air service agreements

• airline network strategies and fleets

• route economics

Additionally, proposed operational aspects of the route are presented including an indicative start date based on market maturity, a proposed airline to serve the route, type of aircraft to be used, flight frequency, and estimated load factors.

4.4.1 Route #1 DPS-PEN

The DPS-PEN route could be served by AirAsia using the 180 seats A320 aircraft. Considering the estimated market potential of 107 PDEW in 2017 and assuming the new service will capture 80% of the market, the new service could start with five times per week and operate at an estimated average load factor of 67% as illustrated below:

1 2 4


AirportDestination





Caculations

CGK KHH Chinese Taipei (A) 65 (B) 80% (C) 38% (D) 14%

(1) 52 (1) = AxB

(2) (2) = 1xC

Subtotal (3) 71 (3) = 1+2

(4) 83 (4) = 3/(1-D)

20

CGK - KHH Total Market Potential (2015 Base)

Economy Pair City Pair 2015 Base 2016 2017 2018Indonesia-Chinese Taipei CGK-KHH 83 88 92 97


4.4.2 Route #2 CGK-HAN

The CGK-HAN route can be considered by Garuda Indonesia making use of the B737-800 aircraft configured with 160 seats. With a 5-weekly service to start with in 2017, it is estimated the load factor will be a healthy 83%:

4.4.3 Route #3 CGK-KHH

The CGK-KHH route is ideal for Garuda Indonesia to operate on the route. This service can bring connecting traffic to CGK and on to Garuda’s extensive domestic and international network. Considering the market potential estimated for 2017 of 92 PDEW. A 5-weekly service could be offered from route opening. The proposed service would operate at an estimated average load factor of 81% as illustrated below with a Garuda Indonesia B737-800 aircraft:

In terms of air service agreements, IATA does not foresee any issues for this route to be operated based on the current high-level policies in place between the two economies.

5. Conclusions and opportunities In addition to the development of new air services in the medium term, other opportunities for air service development such as connectivity improvement, route frequency increases, and long-term developments are also presented.

5.1 Connectivity improvement

This section identifies poorly connected markets that could be better served by improved connecting times, hence granting additional access to already existing yet less accessible connecting markets.

Route (non-directional)

Minimum Opening Date

Airline Aircraft # of SeatsFrequency per week

Number of Pax per Flight

Load Factor

CGK-HAN 2017 Garuda Indonesia B737-800 160 5 132 83%

Week



Airline Aircraft # of SeatsFrequency per week


Load Factor

DPS-PEN 2017 AirAsia A320 180 5 120 67%

Week



Airline Aircraft # of SeatsFrequency per Week


Load Factor

CGK-KHH 2017 Garuda Indonesia B737-800 160 5 129 81%


Almost 80% of the APEC international flights to/from Indonesia used CGK and DPS airports. Hence, IATA examined flights operating to and from CGK and DPS for this analysis. A small selection of improvements can be identified for CGK suggested based on optimal connecting time-related considerations. The connections in DPS are currently well aligned and no significant improvements can be identified at this point in time. Below is a summary of the potential optimizations for CGK:

• Garuda Indonesia flight 898 from CGK to CAN currently leaves CGK at 08:40. Should the departuretime move back by 30 minutes to 09:10, it will allow extra connections from seven domesticdestinations: SUB, LOP, PLM, DPS, PDG, TKG and BDJ.

• The morning Garuda Indonesia flight 866 departure to BKK currently leaves CGK at 9:40. By moving back the departure time by 45 minutes to 10:25 will allow nine more domestic connections fromPLW, JOG, SOC, SRG, PLM, PNK, SUB, DJB, and TKG.

• Currently the Garuda Indonesia flight 713 from SYD arrives into CGK at 15:45. If the arrival time can be brought forward to 15:00, it will allow better onwards domestic connections to SIN, BKK, PNK, SUB, KNO, JOG, PLM and SRG.

5.2 Route frequency increase

IATA considered all of the international non-stop routes from Indonesia to determine whether the current non-stop supply adequately matches the demand. Numerous city pairs from Indonesia with inadequate non-stop service were identified.

Due to the fact that most aircrafts only fly at an average 80% load factor, the ideal demand-to-supply ratio should be under 85%. All of the identified routes in the table below have demand-to-supply ratios of greater than 85%.


Origin Airport

Origin Economy

Destination Airport

Destination Economy

2015 OD Demand (PDEW)

Non-Stop Seats in

2015 (SDEW)

Demand Excess over

Supply (PDEW)

Ratio of Demand to Non-Stop

Supply

DPS Indonesia HND Japan 128 20 108 645% DPS Indonesia PVG China 259 185 75 140% CGK Indonesia PEK China 191 117 74 163% DPS Indonesia PEK China 293 225 68 130% DPS Indonesia AKL New Zealand 92 25 67 368% CGK Indonesia HKT Thailand 99 49 50 203% CGK Indonesia KIX Japan 139 102 37 137% SUB Indonesia TPE Chinese Taipei 116 85 31 137% CGK Indonesia PEN Malaysia 249 222 27 112% UPG Indonesia SIN Singapore 72 51 21 142% SUB Indonesia PEN Malaysia 87 77 10 113% SUB Indonesia DMK Thailand 41 34 7 121% DPS Indonesia NKG China 35 28 7 126% CGK Indonesia MEL Australia 123 117 6 105% KNO Indonesia JHB Malaysia 69 64 4 107% CGK Indonesia PER Australia 100 97 3 103% BTJ Indonesia PEN Malaysia 53 51 2 104% SOC Indonesia SIN Singapore 52 52 -1 99% CGK Indonesia PVG China 241 243 -2 99% CGK Indonesia BKI Malaysia 116 118 -2 98% BPN Indonesia SIN Singapore 75 81 -6 93% CGK Indonesia SGN Viet Nam 168 178 -10 95% DPS Indonesia NRT Japan 297 307 -10 97%

Table 8: List of routes with potential for frequency increase

Strategies to improve the non-stop service could involve adding an additional weekly frequency or increasing the size of the aircraft serving the route. Each route has different operational constraints depending on the distance and type of market being served (short-haul vs. long-haul or business vs. leisure market).

5.3 Long-term new route opportunities

As the growing economy continues to drive air traffic growth, some routes identified in section 4 are expected to become viable in the longer term:


Table 9: Long-term route opportunities

5.4 Development of aircraft technology

The latest aircraft available on the market, Airbus’ A350-900 and Boeing’s B787-9, are capable of flying ultra-long-haul routes. The technical capabilities of these aircrafts will allow new direct routes to be operated between APEC economies across the Pacific. The following map illustrates the range limit1 of A350-900 and B787-9:

Figure 8: Range limit for the latest generation of aircraft from Jakarta (Source: GCMap)

1 For illustration only. Based on published range for the base model of each aircraft type. Specific operating conditions may affect the range of the aircraft.

Origin Airport

Origin Economy

Destination Airport

Destination Economy

2015 OD Demand

2015 Estimated Market

Potential

Distance viable for non-stop flight with current technology

Market size adequate for non-stop service

in the long term

CGK Indonesia NGO Japan 71 88 CGK Indonesia PUS Republic of Korea 70 87 SUB Indonesia BKK Thailand 41 82

A350-900

B787-9


6. Recommendations to improve air connectivity The various recommendations to improve air connectivity both generically and specifically for each APEC member economy are presented in this section.

6.1 Generic recommendations

This chapter provides recommendations applicable to all economies such as greater liberalization of air routes by allowing more access and the elimination of curfews and operational restrictions.

• Continue to liberalize the air services market to other APEC economies, allowing the fullest access to Indonesian airports.

• Encourage airlines, especially Garuda Indonesia, to explore the opportunities on the ultra-long-haul market when they take delivery of new generation of long-haul aircraft.

6.2 Specific recommendations

• Address terminal capacity issues at CGK, SUB, DPS airport.

• International to domestic minimum connecting time at CGK is with 120 minutes very long and this issue should be addressed to enhance the hub function of CGK.

• Ensure adequate planning is in place for major international airports to cater for long-term traffic growth.

• Closely work with the airline industry to enhance sustainability and profitability of the industry.

6.3 How the APEC economy’s regulator can help

• Work closely with different stakeholders, for example Indonesia Tourism Authority, the Chamber of Commerce etc., to gain a deeper understanding of the development of the aviation demand.

• Ensure that the major international airports have an adequate investment and improvement program to cater for future traffic demand.

• Explore the possibility of relaxing visa requirements for tourists.

• Reduce Passenger Movement Charge on international air passengers.


7. Appendix

7.1 Overview of IATA and IATA Consulting

7.1.1 IATA

IATA – The International Air Transport Association was founded in 1945 as the prime vehicle for inter-airline cooperation in promoting safe, reliable, secure and economical air service for the benefit of the world’s consumers. IATA is fully committed to supporting the commercial aviation industry’s stakeholders and governments in their efforts to achieve profitability and long-term viability.

IATA’s mission:

- To represent, lead and serve the airline industry.

IATA’s vision:

- To be the force for value creation and innovation, driving a safe, secure and profitable air transport industry that sustainably connects and enriches our world.

IATA in numbers:

- 250+ member airlines

- 83% of total air traffic

- $387B processed by IATA financial systems

- 1,400+ employees

- 54 offices in 53 countries

7.1.2 IATA Consulting

IATA Consulting overview

IATA Consulting has comprehensive experience in the full array of business challenges facing the aviation sector. Serving the airline industry for 70 years, IATA has developed unrivalled practical experience, which we bring forth to provide the best solutions to our clients.

With our depth and breadth of aviation industry experience, we assist clients to maximize the value of their operating model, realize growth ambitions and gain insights that translate into sustainable competitive advantages.


IATA Consulting has expertise in the following areas:

Our Clients

IATA Consulting has successfully demonstrated its capabilities by providing airlines, airports, tourism offices and other organizations with accurate, unbiased and reliable high quality information and analysis to help them define and understand their markets, while ensuring their long-term facility development and financial success.

IATA is trusted by multiple clients all over the world including airlines, airports, governments and aviation institutions.


Why IATA Consulting was chosen for this project

IATA has, over time, recruited and retained some of the most highly experienced and capable aviation consulting resources within the aviation industry. Due to its position at the heart of the industry, IATA has access to exceptionally skilled and informed subject matter experts and specialists. IATA Consulting’s objective is to make a positive difference in its clients’ performance, while delivering quality services to all industry stakeholders.

IATA Consulting provides its customers with vast knowledge and expertise in all sectors of the industry worldwide. Our approach has been finely tuned to leverage IATA’s global presence and industry thought leadership position in the development of tailored solutions that fit with local cultural considerations and embody international best practices. Our consultants rely on international state-of-the-art standards, unmatched access to data, and products and expert resources to provide cost-efficient and highly informed solutions.

IATA is backed by a robust set of decision support tools, Airport IS and Pax IS have been essential to undertake this study.

Airport IS and Pax IS are the most comprehensive aviation databases available in the marketplace, capturing 100% of traffic around the world and bringing together total market supply and demand under a single platform. The data provided is accurate and reliable as it is captured through IATA’s Billing and Settlement Plan (BSP).


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information.com/data

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• Asia Development Bank. (2016). Retrieved from http://www.adb.org/publications/asian-development-outlook-2016-highlights

• Belobaba, P. (2015). The Global Airline Industry. Wiley Publishing.

• ICF International. (2014). Successful Air Service Development.

• Oxford Economics. (2011). Economic Benefits from Air Transport in Indonesia. Retrieved from https://www.iata.org/policy/Documents/Benefits-of-Aviation- Indonesia-2011.pdf

• Statistics Indonesia. (2016). Retried from https://www.bps.go.id/Subjek/view/id/12#subjekViewTab3|accordion-daftar-subjek1

• Swan, W. (2008). Forecasting Air Travel with Open Skies. Retrieved from Seabury Airline Planning Group: www.sauder.ubc.ca/.../Forecasting%20Asia%20Open%20Skies.ashx

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